Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Radiology AI market projected to hit $2B by 2022: What imaging experts should know

RSNA tallied more than 170 self-identified image analysis companies at last year's annual meeting, with that figure only expected to grow.

Nanox

Nanox reports $11M quarterly loss, GE Healthcare’s $130M new partnership, plus more vendor news

Also Hackensack Meridian Health touts new SPECT/CT camera, Novarad rolls out free COVID AI software, and more market moves. 

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‘Beleaguered’ residency directors urged to take care in adopting AI

As AI inches into the workflows of residency program directors, many may need to prepare against delegating too much of the laborious candidate-selection task to an algorithm.

University of Oregon partnering with mental health specialist PeaceHealth on schizophrenia imaging project

The collaboration is one of 27 teams across the U.S. participating in a massive new consortium, the Psychosis Risk Outcomes Network, or ProNET.

US patents for AI innovations skyrocketing; IBM the top corporate AI inventor

The forward slash-shaped rise reflects broad participation from corporations, companies, businesses, organizations, individual inventors and other innovating entities.

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Radiologists turn to new AI tool to improve breast cancer detection on screening mammograms

The U.S. Food and Drug Administration cleared MammoScan for clinical use back in March.

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New algorithm enhances radiologists’ ability to spot brain aneurysms on CTA scans

Deep learning detected 633 of the 649 aneurysms, but researchers explained it should only be used to assist experts' interpretations.

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4 key steps toward adopting AI-aided triage at scale

Harvard researchers at Mass General Brigham have built an AI chatbot that can automatically triage patients whenever they call or show up in disaster-level numbers.